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Disease Detection Using Soft Computing
Disease detection using soft computing is an emerging field that utilizes various techniques from the domain of artificial intelligence and machine learning to accurately diagnose diseases. Soft computing techniques, such as neural networks, fuzzy logic, and genetic algorithms, are used to build intelligent systems that can analyze complex data and patterns to identify the presence of diseases. In this research paper author has put his efforts to explore the application of soft computing in the diagnosis of disease. Author choose fuzzy logic as the soft computing technique and explore the work done by various researchers for disease diagnosis using fuzzy logic. Author concluded that disease detection using soft computing is a promising area of research that has the potential to transform the field of healthcare. By harnessing the power of artificial intelligence and machine learning, we can improve the accuracy and efficiency of disease diagnosis, leading to better patient outcomes and a healthier society.
Keywords
Soft Computing, Fuzzy Logic, Disease Diagnosis.
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